Sr Data Engineer

About the Role

We are seeking a Senior Data Engineer to join an established data engineering team and own complex technical problems end to end. The team is in the final phases of a high-visibility, multi-year profitability product that is a top priority for the business with a wide internal audience. The infrastructure and architecture are already in place on a modern, AWS-native platform. You will build and improve the pipelines behind this mature product, raise the quality of the work around you, and mentor other engineers. This is a highly capable individual contributor role with leadership through influence and no formal people management.

What You'll Do

- Own data engineering solutions end to end, from design through build, testing, deployment, and operational support

- Design and build AWS-native pipelines using Python, PySpark, and SQL

- Lead technical design discussions, weigh trade-offs, and guide the team toward sound engineering decisions

- Mentor other engineers, support onboarding, and review code and pull requests

- Partner with product and business stakeholders to turn requirements into working solutions

- Contribute to future development of the profitability product following go-live

- Reinforce and model SDLC principles and enterprise engineering best practices

Required

- 5+ years of data engineering experience, data-focused throughout (not a recent developer-to-data pivot)

- Recent hands-on AWS experience within the last one to two years, deep in AWS-native services

- AWS Lambda for microservices

- Python and PySpark, with language proficiency weighing more than specific tool knowledge

- Strong SQL, assumed as a baseline at this level

- Analytical data warehousing: Redshift preferred. Databricks or Snowflake acceptable with strong SQL and PySpark and the ability to transfer quickly

- Enterprise or midsize-to-large organization background with a genuine understanding of why SDLC discipline matters in a mature environment

- Strong communication skills for stakeholder-facing situations

- Experience mentoring and guiding engineers and influencing technical decisions without formal authority

- Stable employment history

Preferred

- AWS Glue, or the ability to pick it up quickly given strong PySpark

- AWS Step Functions for complex orchestration

- Event-driven architecture: S3 event notifications, SNS, SQS, and pub/sub patterns

- Finance or profitability modeling domain background

- SQL Server and SSIS background, helpful for legacy context

- Bachelor's degree in Computer Science, Information Systems, or equivalent experience